Project1 : Given sells data, participants has to implement data science day to day algorithm like filtering, aggregation, date and time manipulation and applying charts to understand patterns in sells of different stores.

Project 3 : Given Kaggle titanic data, participants have to implement data preprocessing and data cleaning algorithms. After that, participants are required to do hypothesis testing on the data to validate their hypothesis.